Construct portfolio using score-tilt weighting with optional risk overlay
Builds portfolio weights by tilting scores with a power exponent (industry-standard score-tilt approach). Optionally applies a covariance-based risk overlay that reduces concentration in highly correlated stocks while staying close to the signal-driven target weights.
Authorizations
Enter 'Bearer' followed by a space and then your JWT or API Key.
Example: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...
or Bearer YOUR_API_KEY_HERE
Path Parameters
UUID of the user strategy
Query Parameters
Minimum market capitalization for inclusion.
Which signal metric to use for scoring companies.
linguisticBeta, marketBuzz, convictionScore Power exponent controlling how aggressively signal scores affect weights. 0 = equal weight, 1 = proportional to score, higher = top scores get more weight.
0 <= x <= 10Maximum weight allowed for any single holding.
0 < x <= 1Minimum weight for any single holding.
0 <= x <= 1Risk diversification level. 0 = pure score-tilt (no risk adjustment), 1 = maximum risk adjustment (reduce concentration in correlated stocks). Requires fetching price data for covariance computation.
0 <= x <= 1Annual risk-free rate used for Sharpe ratio calculation.
Number of top companies by signal score to include. If omitted, all qualifying companies are included.
x >= 2Body
Optional list of company IDs to include before applying other filters.